Arid
DOI10.1111/gcb.13592
Grassland gross carbon dioxide uptake based on an improved model tree ensemble approach considering human interventions: global estimation and covariation with climate
Liang, Wei1,2,3,4; Lu, Yihe2; Zhang, Weibin1,3,4; Li, Shuai1; Jin, Zhao1,3,4; Ciais, Philippe5; Fu, Bojie2; Wang, Shuai2; Yan, Jianwu1,3,4; Li, Junyi1,3; Su, Huimin1
通讯作者Lu, Yihe
来源期刊GLOBAL CHANGE BIOLOGY
ISSN1354-1013
EISSN1365-2486
出版年2017
卷号23期号:7页码:2720-2742
英文摘要

Grassland ecosystems act as a crucial role in the global carbon cycle and provide vital ecosystem services for many species. However, these low-productivity and water-limited ecosystems are sensitive and vulnerable to climate perturbations and human intervention, the latter of which is often not considered due to lack of spatial information regarding the grassland management. Here by the application of a model tree ensemble (MTE-GRASS) trained on local eddy covariance data and using as predictors gridded climate and management intensity field (grazing and cutting), we first provide an estimate of global grassland gross primary production (GPP). GPP from our study compares well (modeling efficiency NSE = 0.85 spatial; NSE between 0.69 and 0.94 interannual) with that from flux measurement. Global grassland GPP was on average 11 +/- 0.31 Pg C yr(-1) and exhibited significantly increasing trend at both annual and seasonal scales, with an annual increase of 0.023 Pg C (0.2%) from 1982 to 2011. Meanwhile, we found that at both annual and seasonal scale, the trend (except for northern summer) and interannual variability of the GPP are primarily driven by arid/semiarid ecosystems, the latter of which is due to the larger variation in precipitation. Grasslands in arid/semiarid regions have a stronger (33 g C m(-2) yr(-1) /100 mm) and faster (0- to 1-month time lag) response to precipitation than those in other regions. Although globally spatial gradients (71%) and interannual changes (51%) in GPP were mainly driven by precipitation, where most regions with arid/semiarid climate zone, temperature and radiation together shared half of GPP variability, which is mainly distributed in the high-latitude or cold regions. Our findings and the results of other studies suggest the overwhelming importance of arid/semiarid regions as a control on grassland ecosystems carbon cycle. Similarly, under the projected future climate change, grassland ecosystems in these regions will be potentially greatly influenced.


英文关键词arid/semiarid ecosystems climate control data-driven method global grassland GPP grazing and cutting model tree ensembles spatiotemporal patterns
类型Article
语种英语
国家Peoples R China ; France
收录类别SCI-E
WOS记录号WOS:000402514900017
WOS关键词NET PRIMARY PRODUCTION ; RAIN-USE EFFICIENCY ; INTERANNUAL VARIABILITY ; PRIMARY PRODUCTIVITY ; SEMIARID ECOSYSTEMS ; EUROPEAN GRASSLANDS ; MAINLAND AUSTRALIA ; BIOSPHERE MODEL ; CO2 EMISSIONS ; LAND-COVER
WOS类目Biodiversity Conservation ; Ecology ; Environmental Sciences
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/199360
作者单位1.Shaanxi Normal Univ, Coll Tourism & Environm, Xian 710119, Peoples R China;
2.Chinese Acad Sci, State Key Lab Urban & Reg Ecol, Ecoenvironm Sci Res Ctr, Beijing 100085, Peoples R China;
3.Shaanxi Key Lab Tourism Informat, Xian 710119, Peoples R China;
4.Shaanxi Normal Univ, Res Ctr Geog Environm Change & Sustainable Dev, Xian 710119, Peoples R China;
5.CEA, LSCE, CNRS, UMR, Bat 709, F-91191 Gif Sur Yvette, France
推荐引用方式
GB/T 7714
Liang, Wei,Lu, Yihe,Zhang, Weibin,et al. Grassland gross carbon dioxide uptake based on an improved model tree ensemble approach considering human interventions: global estimation and covariation with climate[J],2017,23(7):2720-2742.
APA Liang, Wei.,Lu, Yihe.,Zhang, Weibin.,Li, Shuai.,Jin, Zhao.,...&Su, Huimin.(2017).Grassland gross carbon dioxide uptake based on an improved model tree ensemble approach considering human interventions: global estimation and covariation with climate.GLOBAL CHANGE BIOLOGY,23(7),2720-2742.
MLA Liang, Wei,et al."Grassland gross carbon dioxide uptake based on an improved model tree ensemble approach considering human interventions: global estimation and covariation with climate".GLOBAL CHANGE BIOLOGY 23.7(2017):2720-2742.
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